Utilidata Tech Stack

AI platform for dynamic power orchestration in data centers and electrical grids

Energy Technology Ann Arbor, Michigan 51–200 employees Founded 2012 Privately Held

Utilidata builds AI-driven power management systems embedded in data center hardware and grid infrastructure. The tech stack—NVIDIA GPUs, vLLM, Triton, TensorRT, Kubernetes, plus low-level device layers (FPGA, Verilog, UART, I2C)—reveals a company balancing high-performance ML inference with real-time embedded control. Hiring is heavily skewed toward senior engineers (7 of 11 open roles), with active projects spanning hardware development cycles (EVT/DVT/PVT) and manufacturing readiness, suggesting they're transitioning from R&D prototypes toward production scale.

Tech Stack 35 technologies

Core StackKubernetes Docker Datadog Prometheus Grafana Terraform Helm Python C++ Go Rust DynamoDB Jenkins NVIDIA vLLM SGLang Triton TensorRT TorchServe CUDA C/C++ RTOS I2C UART LTE FPGA Verilog VHDL MQTT ZeroMQ+5 more

What Utilidata Is Building

◆Challenges

Unlock compute capacity from existing energy infrastructure
Component availability risks
Physical testing challenges
Unlocking compute capacity from power infrastructure
Scaling ai inference platform
Optimizing gpu utilization
Reducing r&d admin burden
Ensuring r&d focus on product
Scaling from pilot to mass production
Manufacturing defects

▲Active Projects

Karman platform algorithms development
Hardware development lifecycle
Precision telemetry collection
Manufacturing readiness program
Ai inference platform design
Model serving infrastructure
Gpu utilization optimization
Karman platform deployments
Soc incident triage coordination
Evt/dvt/pvt cycles

Hiring Activity

Accelerating10 roles · 10 in 30d

Department

Engineering

Data

Marketing

Seniority

Senior

Lead

Mid

Principal

Notable leadership hires: Marketing Lead

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About Utilidata

Utilidata is a private AI company headquartered in Ann Arbor, Michigan, focused on optimizing power consumption and utilization in data centers and electric grids. The core product, Karman, uses real-time telemetry and AI inference to identify underutilized electrical capacity and dynamically route compute workloads, aiming to increase data center capacity utilization by up to 50%. Founded in 2012 and backed by NVIDIA, the company has deployed solutions across both critical infrastructure domains for over a decade. With 51–200 employees and a hiring velocity centered on senior engineering talent, Utilidata is currently focused on manufacturing scale-up and hardening their inference platform for field deployment.

HeadquartersAnn Arbor, Michigan

Company Size51–200 employees

Founded2012

Hiring MarketsUnited States

Frequently Asked Questions

What is Utilidata's Karman platform?

Karman is Utilidata's AI platform for dynamic power orchestration. It combines real-time telemetry from electrical devices with AI inference to identify unused capacity and autonomously route compute workloads, enabling data center operators to increase capacity utilization by up to 50%.

What tech stack does Utilidata use?

Utilidata's stack spans GPU inference (NVIDIA, TensorRT, vLLM, Triton), container orchestration (Kubernetes, Docker), observability (Datadog, Prometheus, Grafana), and embedded systems (FPGA, RTOS, UART, I2C, Verilog, VHDL). They also use Python, C++, Go, Rust, and CUDA for platform development.

Is Utilidata hiring engineers?

Yes. Utilidata has 11 active roles, 9 in engineering, with accelerating hiring velocity. Open positions skew toward senior-level and leadership roles (7 senior, 1 lead, 1 principal, 1 VP). All hiring is currently in the United States.

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How this profile is built

Utilidata's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.